class_docstr: Test the CVScores visualizer
docstr: Test cross validation quick method with image closeness on SVC
docstr_tok: ["Test","cross","validation","quick","method","with","image","closeness","on","SVC"]
code: def test_quick_method(self):
      """
      Test cross validation quick method with image closeness on SVC
      """
      X, y = self.classification
  
      cv = ShuffleSplit(n_splits=5, test_size=0.2, random_state=321)
      viz = cv_scores(SVC(), X, y, cv=cv, show=False)
  
      self.assert_images_similar(viz, tol=2.0)
  
imports: import pytest
  import numpy.testing
  from unittest.mock import patch
  from tests.base import VisualTestCase
  from sklearn.svm import SVC
  from sklearn.naive_bayes import BernoulliNB
  from sklearn.tree import DecisionTreeRegressor
  from sklearn.preprocessing import OneHotEncoder, MinMaxScaler
  from sklearn.neighbors import KNeighborsClassifier
  from sklearn.linear_model import RidgeCV, LogisticRegressionCV
  from sklearn.model_selection import ShuffleSplit, StratifiedKFold
  from sklearn.pipeline import Pipeline
  from yellowbrick.datasets import load_mushroom
  from yellowbrick.model_selection.cross_validation import *
label_desc: Use image node_id 6 for calling the TestCrossValidation obj's underlying member method code with example usage: obj.test_quick_method() without return types